The influence of climate change on the life insurance in the EU: A panel data approach

Melnychenko, Oleksandr; Kalna-Dubinyuk, Tetyana; Vovchak, Olha; Girchenko, Tetiana

doi:10.1051/e3sconf/202130707001

Cited by 3 publications

(3 citation statements)

References 75 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Popular today are the medium approach, naive approach, drift method, seasonal naive approach, time series methods, econometric forecasting methods, artificial neural networks, etc. (Melnychenko, 2020;Melnychenko et al, 2021). In economics, methods related to time series modelling and econometric forecasting are widely used.…”

Section: International Trade Transaction Forecasting Methodsmentioning

confidence: 99%

Consequences of russia’s military invasion of Ukraine for Polish-Ukrainian trade relations

Melnychenko¹,

Osadcha²,

Kovalev³

et al. 2022

Journal of International Studies

Self Cite

View full text Add to dashboard Cite

An accurate forecast of interstate trade volume allows for short-term and long-term planning, particularly deciding on state budget revenues, foreign exchange earnings, border arrangement, other infrastructure, migration and social policies. Hostilities are destructive so the russian military aggression against Ukraine in 2022 needs to be assessed in terms of its effects on key economic aspects of Polish-Ukrainian relations, as Poland has been the main economic, trade and social partner of Ukraine in recent years. This article analyses the trade dynamics between the two countries since 2005. It was found that since 2015 the main trends of this dynamics have changed. Monthly data from 2015 to 2021 were used for modelling and forecasting. Relevant SARIMA and Holt-Winters exponential smoothing models were built. These models forecast the volume of trade for the fourth quarter of 2021 and the first quarter of 2022. The relative errors of forecasting (compared to actual data) for October, November and December 2021 were as follows: according to the SARIMA model – 0.8%, 3.6% and 2.3%, respectively; for the Holt-Winters model – 1.9%, 3.6% and 0.7%, respectively. Given the expectations and consequences of russia’s military aggression against Ukraine, the average projected trade turnover between Ukraine and Poland was reduced by 20% per month for the first quarter of 2022. In comparison with the available actual (preliminary) data for January 2022, such a pessimistic forecast gave the following relative forecasting errors: according to the SARIMA model – 3.8%; according to the Holt-Winters model – approx. 1%.

show abstract

Section: International Trade Transaction Forecasting Methodsmentioning

confidence: 99%

Consequences of russia’s military invasion of Ukraine for Polish-Ukrainian trade relations

Melnychenko¹,

Osadcha²,

Kovalev³

et al. 2022

Journal of International Studies

Self Cite

View full text Add to dashboard Cite

show abstract

“…The results of these disasters were: 15,080 people killed, 98.4 million people injured and $171.3 billion in economic losses. Of these, 41 cases were recorded in Europe, resulting in 42.9% of all deaths during the mentioned period" [54,55]. The financial sector, as one of the most sensitive economic sectors, is alert to all trends and changes in the environment [54].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Of these, 41 cases were recorded in Europe, resulting in 42.9% of all deaths during the mentioned period" [54,55]. The financial sector, as one of the most sensitive economic sectors, is alert to all trends and changes in the environment [54]. Therefore, research in the financial sector in the context of climate change, energy efficiency, and green energy sustainability is one of the key directions in the modern business environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Losses Due to Imperfect Payment Infrastructure and Payment Instruments

Melnychenko

2021

Energies

Self Cite

View full text Add to dashboard Cite

One of the strategic objectives of the European Union is a reduction in greenhouse gas emissions and improvement of energy efficiency by at least 32.5% in different areas of the economy by 2030. However, little is known about the impact of payment in retail on energy consumption. The purpose of this paper is to assess the chain of losses of time and energy, and therefore financial losses, that occur due to the imperfection of payment infrastructure and instruments using data of cashiers’ working time. The research is based on a regression analysis method, where the energy cost per payment transaction is considered in this study as a function of the number of customers per hour and the energy cost. The results of the panel models highlight that the number of customers per hour has a negative impact on the cost of energy per payment transaction. Furthermore, modern means and methods of payment, including cryptocurrencies, do not solve the problem of the excessive time that it takes to service payments, which entails a waste of energy and money. The empirical results give valuable insights into how to best organise payment in retail to achieve lower energy costs and improve energy efficiency in payment infrastructure.

show abstract

Fuzzy analytical network techniques for selecting suitable temporary refuge sites in Paez, Colombia

Dorado

Mopan

Pino

et al. 2023

IFS

View full text Add to dashboard Cite

Colombia exhibits a considerable incidence rate of natural disasters because of its location within the intertropical zone, which exposes it to various meteorological and geological phenomena, including the Nevado del Huila volcano. The identification of suitable areas for the installation of temporary shelters is critical for managing these disasters. However, the task of identifying such locations is a complex problem that involves multiple criteria. This study uses a fuzzy systems approach to identify suitable sites for establishing temporary shelters in the Paez municipality during natural disasters, considering the essential criteria determined by experts through pairwise comparisons. The study results indicate that responsiveness is the most significant criterion, followed by area profile. Using these criteria, it identified a specific locality in the Paez municipality as suitable for establishing temporary shelters during natural disasters caused by volcanic phenomena. The findings were compared with those obtained from existing scientific literature and validated by experts in natural disasters. The methodological process described in this study provides a valuable tool for public entities to make informed decisions concerning natural disasters in indigenous territories caused by volcanic phenomena.

show abstract

The influence of climate change on the life insurance in the EU: A panel data approach

Cited by 3 publications

References 75 publications

Consequences of russia’s military invasion of Ukraine for Polish-Ukrainian trade relations

Consequences of russia’s military invasion of Ukraine for Polish-Ukrainian trade relations

Energy Losses Due to Imperfect Payment Infrastructure and Payment Instruments

Fuzzy analytical network techniques for selecting suitable temporary refuge sites in Paez, Colombia

Contact Info

Product

Resources

About